You recently expanded and modernized your production facilities. Is this a sign of a positive economic outlook in your industry?

Our decision to expand our production area is a clear signal of our optimism and our focus on the future. We are convinced that the demand for our products will continue to grow in the coming years. By expanding our production capacity, we are in a position to meet this demand and to maintain and consolidate our market position.

However, the expansion is also a positive signal for the entire economy. It shows that we believe in the future and are prepared to invest in new capacities. This is an important contribution to the economic development of the region and creates new jobs. We are convinced that the expansion of the production area is an important step in the right direction and that it will have a positive impact on our company and the economy as a whole.

As in other areas of production, artificial intelligence is increasingly being used in conveyor technology and intralogistics. Where will this bring about changes in the coming years and where is this already evident?

Artificial intelligence has the potential to fundamentally change the mechanical engineering industry in the coming years. It can help to automate time-consuming tasks, resulting in shorter throughput times, lower costs and higher productivity. AI can also support decision-making by analyzing large amounts of data and identifying patterns, to name just two examples. We can already find AI in robot-assisted production, quality control and maintenance, for example in the form of remote maintenance modules or predictive maintenance.

What do these changes mean for HaRo - in terms of development, in-house production and service?

We are still at the very beginning here. However, we have recognized the trend and are ready to take it seriously. Nevertheless, the implementation of AI is not only associated with a number of challenges in mechanical engineering - starting with data security and data protection. These are crucial, as AI systems must ultimately be able to handle sensitive data. It is therefore essential that we take a critical look at these issues.

In addition, employees must accept the new technologies and be prepared to work with them. We see the opportunity to use AI to improve collaboration between humans and machines and to make the use of resources more sustainable. We want to work on this.